CN106022357A - Data input calibration method and terminal - Google Patents
Data input calibration method and terminal Download PDFInfo
- Publication number
- CN106022357A CN106022357A CN201610311414.5A CN201610311414A CN106022357A CN 106022357 A CN106022357 A CN 106022357A CN 201610311414 A CN201610311414 A CN 201610311414A CN 106022357 A CN106022357 A CN 106022357A
- Authority
- CN
- China
- Prior art keywords
- word
- calibrated
- terminal
- voice messaging
- message
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000006243 chemical reaction Methods 0.000 claims abstract description 27
- 238000002372 labelling Methods 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 2
- 230000002708 enhancing effect Effects 0.000 abstract 1
- 230000001755 vocal effect Effects 0.000 description 12
- 235000012054 meals Nutrition 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 230000011218 segmentation Effects 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000004549 pulsed laser deposition Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Computational Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Document Processing Apparatus (AREA)
Abstract
The embodiment of the invention discloses a data input calibration method and a terminal, so that accuracy of converting voice information into text information by the terminal is improved. The method comprises: a terminal obtains voice information; the voice information is converted into corresponding text information based on a preset conversion table between voices and texts; a to-be-calibrated text in the corresponding text information is obtained based on a preset obtaining rule; and according to a preset calibration rule, the to-be-calibrated text is calibrated. Therefore, after the terminal converts the voice information into the corresponding text information, the corresponding text information is determined intelligently, the to-be-calibrated text in the corresponding text information is obtained, and the text with calibration is calibrated, thereby improving accuracy of converting the voice information into the text information by the terminal and enhancing the user experience.
Description
Technical field
The present embodiments relate to field of terminal, particularly relate to method and the terminal of the input calibration of a kind of data.
Background technology
Along with the development of science and technology, speech recognition technology can be applied to a lot of scene, such as enter
During guild's view, in order to keep meeting material here, generally require and the content talked about in meeting is carried out typing, by
The word being converted in current speech recognition technology is not accurate enough, so cannot be applied in meeting
Words input, current meeting summary carries out typing mode and typically takes craft, i.e. keyboarder oneself to be heard
Conference content carry out being manually entered in computer, this will expend a lot of labour force, and to keyboarder
Efficiency requirements higher.The word identified due to speech recognition technology in prior art is not accurate enough,
Result in Consumer's Experience the highest.
Summary of the invention
Embodiments provide method and the terminal of the input calibration of a kind of data, be used for improving voice letter
Breath is converted to the accuracy of Word message.
Embodiment of the present invention first aspect provides the method for a kind of data input calibration, including:
Obtain voice messaging；
Voice messaging is converted to corresponding Word message by the default conversion table according to voice and word；
According to the word to be calibrated in default acquisition Rule correspondence Word message；
Treat calibration word according to default calibration rule to calibrate.
In a kind of possible implementation, according to default acquisition Rule correspondence Word message treats school
Quasi-word, including:
When the kinds of words information that voice messaging is corresponding in default conversion table, determine that voice messaging is changed
Corresponding Word message be word to be calibrated；
After then according to presetting the word to be calibrated obtained in Rule correspondence Word message, also include:
Labelling word to be calibrated.
In alternatively possible implementation, according to treating in default acquisition Rule correspondence Word message
Calibration word, including:
Obtain the selection instruction of user's input；
According to selecting instruction to choose corresponding Word message, the word selected by user is defined as literary composition to be calibrated
Word.
In alternatively possible implementation, treat calibration word according to default calibration rule and calibrate,
Including:
The kinds of words information that display voice messaging is corresponding；
The word in kinds of words information is chosen in instruction of choosing according to receiving；
Word to be calibrated is replaced with the word chosen.
In alternatively possible implementation, calibrate treating calibration word according to default calibration rule,
Including:
Receive the comparison word of user's input；
Word to be calibrated is replaced with the comparison word of user's input.
In alternatively possible implementation, according to treating in default acquisition Rule correspondence Word message
Calibration word, including:
Receive the comparison word of user's input；
Whether the corresponding Word message of detection exists the word matched with comparison word, wherein matches
Word is inconsistent with comparison word；
When the test results is yes, determine that the word matched is word to be calibrated；
Then word to be calibrated is calibrated, including:
Word to be calibrated is replaced with the comparison word of user's input.
Embodiment of the present invention second aspect provides a kind of terminal, including:
Acquiring unit, is used for obtaining voice messaging；
Converting unit, for being converted to corresponding civilian according to voice with the default conversion table of word by voice messaging
Word information；
Acquiring unit is additionally operable to, according to the word to be calibrated in default acquisition Rule correspondence Word message；
Alignment unit, calibrates for treating calibration word according to default calibration rule.
In a kind of possible implementation, acquiring unit specifically for:
When the kinds of words information that voice messaging is corresponding in default conversion table, determine that voice messaging is changed
Corresponding Word message be word to be calibrated；
Terminal also includes:
Indexing unit, for labelling word to be calibrated.
In alternatively possible implementation, root acquiring unit is specifically additionally operable to:
Obtain the selection instruction of user's input；
According to selecting instruction to choose corresponding Word message, the word selected by user is defined as literary composition to be calibrated
Word.
In alternatively possible implementation, alignment unit specifically for:
Receive the comparison word of user's input；
Word to be calibrated is replaced with the comparison word of user's input.
As can be seen from the above technical solutions, the embodiment of the present invention has the advantage that the embodiment of the present invention
In, terminal obtains voice messaging, and it is right to be converted to by voice messaging according to voice and the default conversion table of word
Answer Word message, according to the word to be calibrated in default acquisition Rule correspondence Word message, according in advance
If calibration rule is treated calibration word and is calibrated.So, voice messaging is being converted to corresponding literary composition by terminal
After word information, also this correspondence Word message is carried out intelligent decision, and has obtained in this correspondence Word message
Word to be calibrated, the word then calibrated this band is calibrated, thus is improve terminal converting speech
Information is the accuracy of Word message, improves Consumer's Experience.
Accompanying drawing explanation
Fig. 1 is one embodiment schematic diagram of method of data input calibration in the embodiment of the present invention；
Fig. 2 is another embodiment schematic diagram of method of data input calibration in the embodiment of the present invention；
Fig. 3 is an embodiment schematic diagram of terminal in the embodiment of the present invention；
Fig. 4 is another embodiment schematic diagram of terminal in the embodiment of the present invention.
Detailed description of the invention
Embodiments provide method and the terminal of the input calibration of a kind of data, be used for improving voice letter
Breath is converted to the accuracy of Word message.
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out
Clearly and completely describe, it is clear that described embodiment is only that an embodiment of the present invention part is implemented
Example rather than whole embodiments.Based on the embodiment in the embodiment of the present invention, those skilled in the art
The every other embodiment obtained under not making creative work premise, broadly falls into the present invention and implements
The scope of example protection.
With reference to shown in Fig. 1, in the embodiment of the present invention, an embodiment of the method for data input calibration includes:
101, voice messaging is obtained；
In terminal, obtaining voice messaging and specifically can include two kinds, one is to sound by terminal itself
It is acquired, obtains voice messaging；Another kind is to receive the voice messaging that miscellaneous equipment sends.This
The method of the data input calibration described in bright embodiment is applicable to terminal and carries out the voice messaging of Real-time Collection
Be converted to Word message the application scenarios calibrated, be also applied for the voice messaging that end-on receives and carry out
Be converted to Word message the application scenarios calibrated.
102, with the default conversion table of word, described voice messaging is converted to corresponding word according to voice believe
Breath；
Voice messaging is converted under the instruction of Word message by terminal execution, after getting voice messaging, then
Need this voice messaging is converted to corresponding Word message.Concrete, terminal needs according to voice and word
Default conversion table in find the Word message corresponding to described voice messaging, then export described correspondence
Word message.This voice can be stored in terminal local with the default conversion table of word, it is also possible to deposits
Storage is in far-end server, and the default conversion table of this voice and word is specifically, by voice with vocal print form
Storage, and the word corresponding to this vocal print and this vocal print are set up corresponding relation.The language that terminal will get
Message breath mates with the voice messaging in described default conversion table, finds described the presetting matched to turn
Change the voice messaging in table, and export the corresponding word of the voice messaging matched in described default conversion table
Information.
Optionally, voice messaging can be carried out whole section of conversion, or segmentation conversion by terminal, and concrete divides
Depending on segment length can be according to the length of vocal print or fluctuation, such as according to the speed preset, vocal print is divided into two
The vocal print of individual word or the vocal print of four words, and for example fluctuate according to vocal print, by bigger for vocal print fluctuation each time
Point carry out a segmentation.
103, according to presetting the word to be calibrated obtained in corresponding Word message described in Rule；
Owing to terminal can only be converted to corresponding Word message according to the vocal print of voice messaging, but should in reality
In with, the pronunciation of different literals is probably the same, and the vocal print also having resulted in different literals is the same.
Such as " he ", " she ", " it ", these three word has referred to the 3rd address of different implication, but three
Pronunciation is just the same, and the vocal print of terminal institute typing also can be duplicate, thus causes terminal to be changed
Corresponding Word message inaccurate.In another kind of situation, when the voice messaging accessed by terminal not ten
Minute mark is punctual, also leads to the Word message that terminal changed inaccurate, and such as this voice messaging is one section
The local dialect, then terminal would become hard to be converted to Word message accurately.Therefore, terminal is this in conversion
During voice messaging, then cannot determine concrete corresponding Word message, then the Word message after being changed
Also by inaccurate, then need it is calibrated.
104, according to presetting, calibration is regular calibrates described word to be calibrated.
After obtaining word to be calibrated, then according to presetting, calibration is regular carries out school to this word to be calibrated to terminal
Standard, is calibrated to word accurately by this word to be calibrated so that the word of output is word, institute accurately
Stating and preset calibration rule can be artificial setting, it is also possible to carry out intelligent decision acquisition for terminal.
In the embodiment of the present invention, terminal obtains voice messaging, and the default conversion table according to voice with word will
Described voice messaging is converted to corresponding Word message, according to word letter corresponding described in default acquisition Rule
Word to be calibrated in breath, calibrates described word to be calibrated according to default calibration rule.So,
Terminal, after voice messaging is converted to corresponding Word message, has also carried out intelligence to this correspondence Word message
Judging, and obtain word to be calibrated in this correspondence Word message, the word then calibrated this band is carried out
Calibration, thus improve terminal converting speech information is the accuracy of Word message, improves Consumer's Experience.
With reference to shown in Fig. 2, in the embodiment of the present invention, another embodiment of the method for data input calibration includes:
201, voice messaging is obtained；
Detailed content is with reference to described in step 101.
202, with the default conversion table of word, described voice messaging is converted to corresponding word according to voice believe
Breath；
Detailed content is with reference to described in step 102.
203, when the kinds of words information that described voice messaging is corresponding in described default conversion table, determine
The described corresponding Word message that described voice messaging is changed is word to be calibrated；
Content as shown in above-described embodiment, the possible corresponding kinds of words information of voice messaging, such as
Voice messaging corresponding to " he ", " she ", " it " is identical, and terminal possibly cannot be judged specifically should
Corresponding word, so the corresponding word that terminal is exported may be inaccurate, now terminal is output one
After Word message, determine that exported Word message is word to be calibrated simultaneously, treat that this is treated by follow-up needs
The word of calibration is calibrated.Such as, a voice messaging is converted to corresponding Word message " he " by terminal,
Due to this voice messaging correspondence kinds of words, so terminal determines that changed Word message " he " is for treating
Calibration word.
In alternatively possible implementation, owing to voice itself terminal that is nonstandard and that cause are changed
Word message inaccurate, terminal cannot judge that the Word message after being changed is inaccurate.Such as,
This voice messaging is a dialect, and the Word message after causing terminal to be changed is " proper meal ", the most really
It is meant that " having a meal ".In this case, terminal also can also obtain the selection instruction of user's input, and
Choose described corresponding Word message according to described selection instruction, the word selected by user is defined as described
Word to be calibrated.Such as, after the corresponding Word message of terminal output conversion, user browses this correspondence word
Information, have found " proper meal " inaccurate, and therefore user selects instruction to select " proper meal " by input gesture
Inaccurate, need to calibrate.
In alternatively possible implementation, in real-time voice transformation process, terminal is carrying out voice letter
While breath is converted to corresponding Word message, manually can also carry out words input simultaneously, but manually may be used
With only typing be relatively difficult to conversion word, such as some rarely used words or the word of some technical terms,
Such as " P2P ", after terminal gets the voice messaging of " P2P ", the Word message that may be converted to is " P
To P ", therefore can be by manually inputting comparison word, after terminal receives this comparison word, detect institute
State and whether corresponding Word message exists the word matched with described comparison word, wherein said match
Word inconsistent with described comparison word.Such as, terminal can be by contrast word " P2P " and " P to P "
Mate, owing to both are much like, it can be considered that the match is successful, then terminal then can be direct
Comparison word " P2P " is replaced this correspondence word " P to P ".
204, word to be calibrated described in labelling；
After terminal determines word to be calibrated, terminal can to this band calibration word be marked, such as than
The font of more yellow color so that user can rapid examination to word to be calibrated, thus calibrate.
205, the kinds of words information that described voice messaging is corresponding is shown；
After terminal determines word to be calibrated, if this situation is voice messaging correspondence kinds of words information,
All Word messages corresponding to this voice messaging can be enumerated and show by so terminal, go for user
Select to judge.
206, the word in described kinds of words information is chosen according to the instruction of choosing received；
User, can be by this kinds of words information after the kinds of words information seeing the enumerated display of terminal
In correct word select, such as terminal enumerates " he ", " she ", " it ", and user clicks on " she ",
Thus have input and choose instruction.
207, described word to be calibrated is replaced with the described word chosen；
Terminal receive user input choose instruction after, then according to the word selected by user, replace
This word to be calibrated, such as, word to be calibrated is " he ", and user have chosen " she ", then should
Band calibration word " he " replaces with " she ".
In another kind of implementation, as described in step 203, word to be calibrated is selected by user, because of
This terminal possibly cannot be set out the Word message of the most multiple correspondence, in this case, can by with
Family input comparison word is calibrated.Such as, word to be calibrated is " proper meal ", and it is defeated that terminal receives user
The comparison word entered is " having a meal ", then word to be calibrated " proper meal " is then replaced with " having a meal " by terminal.
With reference to shown in Fig. 3, in the embodiment of the present invention, an embodiment of terminal includes:
Acquiring unit 301, is used for obtaining voice messaging；
Detailed content is with reference to described in step 101.
Converting unit 302, for being converted to described voice messaging according to the default conversion table of voice with word
Corresponding Word message；
Detailed content is with reference to described in step 102.
Described acquiring unit 301 is additionally operable to, according in Word message corresponding described in default acquisition Rule
Word to be calibrated；
Detailed content is with reference to described in step 103.
Alignment unit 303, for according to presetting, calibration is regular calibrates described word to be calibrated.
Detailed content is with reference to described in step 104.
With reference to shown in Fig. 4, in the embodiment of the present invention, another embodiment of terminal includes:
Acquiring unit 401, is used for obtaining voice messaging；
Detailed content is with reference to described in step 201.
Converting unit 402, for being converted to described voice messaging according to the default conversion table of voice with word
Corresponding Word message；
Detailed content is with reference to described in step 202.
Described acquiring unit 401 is additionally operable to, when described voice messaging correspondence in described default conversion table
During kinds of words information, determine that described corresponding Word message that described voice messaging changes is into described to be calibrated
Word；
Detailed content is with reference to described in step 203.
Described acquiring unit 401 is specifically additionally operable to: obtain the selection instruction of user's input；
Choose described corresponding Word message according to described selection instruction, the word selected by user is defined as
Described word to be calibrated.
Detailed content is with reference to described in step 203.
Indexing unit 403, for word to be calibrated described in labelling；
Detailed content is with reference to described in step 204.
Alignment unit 404 is used for: receive the comparison word of user's input, is replaced by described word to be calibrated
Described comparison word for user's input.
Detailed content is with reference to described in step 207.
It should be noted that the acquiring unit described in terminal, converting unit, school in the embodiment of the present invention
Quasi-unit and indexing unit all can integrated realize on a processor, and processor includes central processing unit
(Central Processing Unit, CPU), special IC (Application Specific Integrated
Circuit, be called for short: ASIC), field programmable gate array (Field-Programmable Gate Array,
FPGA) or other PLDs etc. it is called for short:.The memory element related in the embodiment of the present invention
Can realize on a memory, memorizer can include volatile memory (English: volatile memory),
Such as random access memory (English: random-access memory, abbreviation: RAM) be used for realizing
The function of region of memory in memory element；Memorizer can also include nonvolatile memory (English:
Non-volatile memory), such as read only memory (English: read-only memory, abbreviation: ROM),
Flash memory (English: flash memory), and hard disk (English: hard disk drive, abbreviation: HDD)
Or solid state hard disc (English: solid state drive, abbreviation: SSD), be used for realizing in memory element non-easily
The function of the property lost memory block；Memorizer can also include the combination of the memorizer of mentioned kind.
Those skilled in the art is it can be understood that arrive, and for convenience and simplicity of description, above-mentioned retouches
The specific works process of the system stated, device and unit, is referred to the correspondence in preceding method embodiment
Process, does not repeats them here.
In several embodiments that the embodiment of the present invention is provided, it should be understood that disclosed system,
Apparatus and method, can realize by another way.Such as, device embodiment described above is only
It is only illustrative, such as, the division of described unit, it is only a kind of logic function and divides, actual real
Can have now other dividing mode, the most multiple unit or assembly can in conjunction with or be desirably integrated into
Another system, or some features can ignore, or do not perform.Another point, shown or discussed phase
Coupling between Hu or direct-coupling or communication connection can be by between some interfaces, device or unit
Connect coupling or communication connection, can be electrical, machinery or other form.
The described unit illustrated as separating component can be or may not be physically separate, makees
The parts shown for unit can be or may not be physical location, i.e. may be located at a place,
Or can also be distributed on multiple NE.Can select according to the actual needs part therein or
The whole unit of person realizes the purpose of the present embodiment scheme.
It addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit,
Can also be that unit is individually physically present, it is also possible to two or more unit are integrated in a list
In unit.Above-mentioned integrated unit both can realize to use the form of hardware, it would however also be possible to employ software function list
The form of unit realizes.
If described integrated unit realizes and as independent production marketing using the form of SFU software functional unit
Or when using, can be stored in a computer read/write memory medium.Based on such understanding, this
The part that the most in other words prior art contributed of technical scheme of invention or this technical scheme
Completely or partially can embody with the form of software product, this computer software product is stored in one
In storage medium, including some instructions with so that computer equipment (can be personal computer,
Server, or the network equipment etc.) perform completely or partially walking of method described in each embodiment of the present invention
Suddenly.And aforesaid storage medium includes: USB flash disk, portable hard drive, read only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD
Etc. the various media that can store program code.
The above, above example only in order to technical scheme to be described, is not intended to limit；
Although being described in detail the present invention with reference to previous embodiment, those of ordinary skill in the art should
Work as understanding: the technical scheme described in foregoing embodiments still can be modified by it, or to it
Middle part technical characteristic carries out equivalent；And these amendments or replacement, do not make appropriate technical solution
Essence depart from various embodiments of the present invention technical scheme spirit and scope.
Claims (10)
1. the method for a data input calibration, it is characterised in that described method includes:
Obtain voice messaging；
With the default conversion table of word, described voice messaging is converted to corresponding Word message according to voice；
According to the word to be calibrated in Word message corresponding described in default acquisition Rule；
According to default calibration rule, described word to be calibrated is calibrated.
Method the most according to claim 1, it is characterised in that described basis is preset acquisition rule and obtained
Take the word to be calibrated in described corresponding Word message, including:
When the kinds of words information that described voice messaging is corresponding in described default conversion table, determine described
The described corresponding Word message that voice messaging is changed is described word to be calibrated；
After the most described basis presets the word to be calibrated obtained in corresponding Word message described in Rule,
Also include:
Word to be calibrated described in labelling.
Method the most according to claim 1, it is characterised in that described basis is preset acquisition rule and obtained
Take the word to be calibrated in described corresponding Word message, including:
Obtain the selection instruction of user's input；
Choose described corresponding Word message according to described selection instruction, the word selected by user is defined as
Described word to be calibrated.
Method the most according to claim 2, it is characterised in that it is right that described basis presets calibration rule
Described word to be calibrated is calibrated, including:
Show the kinds of words information that described voice messaging is corresponding；
The word in described kinds of words information is chosen in instruction of choosing according to receiving；
Described word to be calibrated is replaced with the described word chosen.
5. according to the method described in any one of claim 1-3, it is characterised in that described to according to presetting
Described word to be calibrated is calibrated by calibration rule, including:
Receive the comparison word of user's input；
Described word to be calibrated is replaced with the described comparison word of user's input.
Method the most according to claim 1, it is characterised in that described basis is preset acquisition rule and obtained
Take the word to be calibrated in described corresponding Word message, including:
Receive the comparison word of user's input；
Detect in described corresponding Word message and whether there is the word matched with described comparison word, wherein
The described word matched is inconsistent with described comparison word；
When the test results is yes, determine described in the word that matches be described word to be calibrated；
The most described described word to be calibrated is calibrated, including:
Described word to be calibrated is replaced with the described comparison word of user's input.
7. a terminal, it is characterised in that described terminal includes:
Acquiring unit, is used for obtaining voice messaging；
Converting unit is right for being converted to by described voice messaging according to voice and the default conversion table of word
Answer Word message；
Described acquiring unit is additionally operable to, according to treating in Word message corresponding described in default acquisition Rule
Calibration word；
Alignment unit, for according to presetting, calibration is regular calibrates described word to be calibrated.
Terminal the most according to claim 7, it is characterised in that described acquiring unit specifically for:
When the kinds of words information that described voice messaging is corresponding in described default conversion table, determine described
The described corresponding Word message that voice messaging is changed is described word to be calibrated；
Described terminal also includes:
Indexing unit, for word to be calibrated described in labelling.
Terminal the most according to claim 7, it is characterised in that described acquiring unit is the most also used
In:
Obtain the selection instruction of user's input；
Choose described corresponding Word message according to described selection instruction, the word selected by user is defined as
Described word to be calibrated.
10. according to the terminal described in any one of claim 7 to 9, it is characterised in that described calibration list
Unit specifically for:
Receive the comparison word of user's input；
Described word to be calibrated is replaced with the described comparison word of user's input.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610311414.5A CN106022357A (en) | 2016-05-11 | 2016-05-11 | Data input calibration method and terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610311414.5A CN106022357A (en) | 2016-05-11 | 2016-05-11 | Data input calibration method and terminal |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106022357A true CN106022357A (en) | 2016-10-12 |
Family
ID=57099247
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610311414.5A Pending CN106022357A (en) | 2016-05-11 | 2016-05-11 | Data input calibration method and terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106022357A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106357932A (en) * | 2016-11-22 | 2017-01-25 | 奇酷互联网络科技（深圳）有限公司 | Call information recording method and mobile terminal |
| CN106445461A (en) * | 2016-10-25 | 2017-02-22 | 北京小米移动软件有限公司 | Text information processing method and device |
| CN106486119A (en) * | 2016-10-20 | 2017-03-08 | 海信集团有限公司 | A kind of method and apparatus of identification voice messaging |
| CN106952655A (en) * | 2017-02-23 | 2017-07-14 | 深圳市金立通信设备有限公司 | A kind of input method and terminal |
| CN110348934A (en) * | 2019-05-23 | 2019-10-18 | 深圳壹账通智能科技有限公司 | Ordering method, device, storage medium and electronic equipment based on interactive voice |
| CN111312230A (en) * | 2019-11-27 | 2020-06-19 | 南京创维信息技术研究院有限公司 | Voice interaction monitoring method and device for voice conversation platform |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1758678A (en) * | 2005-10-26 | 2006-04-12 | 熊猫电子集团有限公司 | Voice recognition and voice tag recoding and regulating method of mobile information terminal |
| CN101923858A (en) * | 2009-06-17 | 2010-12-22 | 劳英杰 | Real-time and synchronous mutual translation voice terminal |
| CN102290049A (en) * | 2010-06-18 | 2011-12-21 | 上海市静安区教育学院附属学校 | Voice-text conversion device |
| CN102867511A (en) * | 2011-07-04 | 2013-01-09 | 余喆 | Method and device for recognizing natural speech |
| CN104699236A (en) * | 2013-12-05 | 2015-06-10 | 联想（新加坡）私人有限公司 | Using context to interpret natural language speech recognition commands |
| CN105185377A (en) * | 2015-09-24 | 2015-12-23 | 百度在线网络技术（北京）有限公司 | Voice-based file generation method and device |
-
2016
- 2016-05-11 CN CN201610311414.5A patent/CN106022357A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1758678A (en) * | 2005-10-26 | 2006-04-12 | 熊猫电子集团有限公司 | Voice recognition and voice tag recoding and regulating method of mobile information terminal |
| CN101923858A (en) * | 2009-06-17 | 2010-12-22 | 劳英杰 | Real-time and synchronous mutual translation voice terminal |
| CN102290049A (en) * | 2010-06-18 | 2011-12-21 | 上海市静安区教育学院附属学校 | Voice-text conversion device |
| CN102867511A (en) * | 2011-07-04 | 2013-01-09 | 余喆 | Method and device for recognizing natural speech |
| CN104699236A (en) * | 2013-12-05 | 2015-06-10 | 联想（新加坡）私人有限公司 | Using context to interpret natural language speech recognition commands |
| CN105185377A (en) * | 2015-09-24 | 2015-12-23 | 百度在线网络技术（北京）有限公司 | Voice-based file generation method and device |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106486119A (en) * | 2016-10-20 | 2017-03-08 | 海信集团有限公司 | A kind of method and apparatus of identification voice messaging |
| CN106486119B (en) * | 2016-10-20 | 2019-09-20 | 海信集团有限公司 | A kind of method and apparatus identifying voice messaging |
| CN106445461A (en) * | 2016-10-25 | 2017-02-22 | 北京小米移动软件有限公司 | Text information processing method and device |
| CN106445461B (en) * | 2016-10-25 | 2022-02-15 | 北京小米移动软件有限公司 | Method and device for processing character information |
| CN106357932A (en) * | 2016-11-22 | 2017-01-25 | 奇酷互联网络科技（深圳）有限公司 | Call information recording method and mobile terminal |
| CN106952655A (en) * | 2017-02-23 | 2017-07-14 | 深圳市金立通信设备有限公司 | A kind of input method and terminal |
| CN110348934A (en) * | 2019-05-23 | 2019-10-18 | 深圳壹账通智能科技有限公司 | Ordering method, device, storage medium and electronic equipment based on interactive voice |
| CN111312230A (en) * | 2019-11-27 | 2020-06-19 | 南京创维信息技术研究院有限公司 | Voice interaction monitoring method and device for voice conversation platform |
| CN111312230B (en) * | 2019-11-27 | 2023-10-20 | 南京创维信息技术研究院有限公司 | Voice interaction monitoring method and device for voice conversation platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106022357A (en) | Data input calibration method and terminal | |
| CN105279227B (en) | Method and device for processing voice search of homophone | |
| CN108897723B (en) | Scene conversation text recognition method and device and terminal | |
| CN111310440A (en) | Text error correction method, device and system | |
| CN110187780B (en) | Long text prediction method, long text prediction device, long text prediction equipment and storage medium | |
| US11763583B2 (en) | Identifying matching fonts utilizing deep learning | |
| US11019012B2 (en) | File sending in instant messaging application | |
| CN110956016A (en) | Document content format adjusting method and device and electronic equipment | |
| CN103164698A (en) | Method and device of generating fingerprint database and method and device of fingerprint matching of text to be tested | |
| CN109657228A (en) | It is a kind of sensitivity text determine method and device | |
| CN111858905B (en) | Model training method, information identification device, electronic equipment and storage medium | |
| CN111143551A (en) | Text preprocessing method, classification method, device and equipment | |
| CN110211562A (en) | A kind of method of speech synthesis, electronic equipment and readable storage medium storing program for executing | |
| Van Der Goot et al. | A taxonomy for in-depth evaluation of normalization for user generated content | |
| CN111046627B (en) | Chinese character display method and system | |
| CN113934834A (en) | Question matching method, device, equipment and storage medium | |
| CN111859933B (en) | Training method, recognition method, device and equipment for maleic language recognition model | |
| CN117574924A (en) | Translation model training method, translation device, electronic equipment and medium | |
| US10810497B2 (en) | Supporting generation of a response to an inquiry | |
| Mahurkar et al. | LRG at SemEval-2020 task 7: Assessing the ability of BERT and derivative models to perform short-edits based humor grading | |
| KR101614470B1 (en) | Apparatus for providing search word list and method using the same | |
| CN107656627B (en) | Information input method and device | |
| CN111142871A (en) | Front-end page development system, method, equipment and medium | |
| CN110245331A (en) | A kind of sentence conversion method, device, server and computer storage medium | |
| CN111045836B (en) | Search method, search device, electronic equipment and computer readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20161012 |
|
| RJ01 | Rejection of invention patent application after publication |